{ "data": { "a": { "slug": "mem0", "name": "Mem0 Platform + MCP", "vendor": "Mem0", "vendorUrl": "https://mem0.ai", "kind": "http-api", "category": "agent-memory", "summary": "Hosted memory layer that extracts facts from conversations and returns the relevant ones for a user, agent or run on later turns.", "url": "https://www.anchorterminal.com/tools/mem0", "markdownUrl": "https://www.anchorterminal.com/tools/mem0.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mem0.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mem0.json", "dns": "mem0.grade.anchorterminal.com", "repo": "https://github.com/mem0ai/mem0", "license": "Apache-2.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.mem0.ai", "packages": [ { "registry": "pypi", "name": "mem0ai" }, { "registry": "npm", "name": "mem0ai" } ], "auth": "api-key", "authNotes": "API key in the `Authorization: Token \u003ckey\u003e` header on the REST API, not Bearer. The hosted MCP at mcp.mem0.ai/mcp signs in through the browser by default, and headless clients pass the API key as a Bearer token. `mem0 init --agent` creates an unclaimed Free account with no email, limited to 5 sign-ups a day per IP address.", "pricing": "freemium", "pricingNotes": "Free plan with no card. For the first 30 days Mem0 pays for the model calls, with 10,000 adds and 1,000 retrievals a month. After that, adds need the customer's own OpenAI, Anthropic, Azure OpenAI or OpenRouter key, and the limits rise to 50,000 adds and 10,000 retrievals a month. Accounts made before 26 October 2026 have until 25 November 2026. Starter, Growth and Pro are no longer sold to new accounts. Above the free limits, usage-based billing at a rate shown in the dashboard, with a monthly cap, or a custom Enterprise plan (https://github.com/mem0ai/mem0/blob/main/docs/platform/pricing.mdx, 26 October 2026).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 11, "popularity": { "githubStars": 65900, "npmWeekly": 167841, "pypiWeekly": 501642, "asOf": "2026-09-30" }, "docsUrl": "https://docs.mem0.ai", "llmsTxt": "https://mem0.ai/llms.txt", "openapi": "https://docs.mem0.ai/openapi.json", "registryName": "io.github.mem0ai/mem0", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.user", "memory.delete" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "open-source", "self-hosted", "enterprise" ], "lastRelease": "2026-09-25", "graded": true, "anchor": { "graded": true, "score": 40.1, "grade": "E", "agentReady": false, "rank": 1310, "ranked": true, "rankOf": 1486, "categoryRank": 26, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 75, "payments": 40, "reliability": 25, "schema": 80, "security": 45, "transparency": 62 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": -13, "negativeNotes": [ "-1, GHSA-5324-3w58-qpp2 (CVE-2026-116575), Moderate, published by Mem0 on 28 October 2026. A crafted run_id could collide with another tenant's session-scope key in the open-source library and read that tenant's recent messages. Fixed in Python 2.0.18 and TypeScript 3.1.6 on 12 August 2026 (https://osv.dev/vulnerability/GHSA-5324-3w58-qpp2).", "-2, GHSA-7587-9684-52r6 (CVE-2026-115324), Critical, published 22 October 2026 from a VulnCheck record. SQL injection through stored memory text in the Databricks vector store, fixed in 1.0.8. Under two months old, so 2; it falls to 1 after 22 December 2026 (https://osv.dev/vulnerability/GHSA-7587-9684-52r6).", "-1, GHSA-jfv9-68m5-gjjr (CVE-2026-31240), High, published 12 May 2026 by a third party. The self-hosted server up to 1.0.0 had no authentication on memory update and delete. OSV lists no fixed version, but the server has required a JWT or API key unless AUTH_DISABLED is set since 5 June 2026 (first released in 2.0.8 on 24 June), so it is read as fixed. Over two months old, so 1. Its two Medium companions (GHSA-cgx8-qgvr-f7vf, GHSA-gq6f-qwv9-rf4j) cost 0 and the fixed Low GHSA-xqxw-r767-67m7 costs nothing (https://osv.dev/list?q=mem0ai\u0026ecosystem=PyPI).", "-3, a breaking change without notice. Python 2.0.19 (24 August 2026), a patch release, stopped `mem0.proxy` installing `litellm` when it is missing and raises ImportError instead. litellm is only in the optional `llms` extra, and the OpenAI compatibility guide's managed-proxy example doesn't say to install it, so callers who followed it fail at import (https://github.com/mem0ai/mem0/blob/main/docs/changelog/sdk.mdx).", "-3, released fixes of described flaws with no advisory. v2.0.12 (13 July 2026) shipped \"security: fix SQL and Cypher injection vulnerabilities in PGVector, Azure MySQL, and Neptune\" (d1224796) and filter-injection fixes for Elasticsearch, OpenSearch, Neptune, Azure AI Search, Valkey, Milvus, MongoDB and Upstash ran from 22 June to 4 August. v2.0.13 and v2.0.16 stopped metadata from moving a memory into another tenant's scope. OSV holds no record for any of them (https://github.com/mem0ai/mem0/blob/main/docs/changelog/sdk.mdx).", "-3, security fixes on main in no release. d62ce07f (7 October 2026) stops the Vertex AI vector store writing the service account private key to DEBUG logs, and d26ba5e4 (12 October) makes the SDKs refuse an empty entity ID, which the docs say \"matches every memory in the project\" on delete_all. The newest release is still 2.2.1 of 25 September (https://github.com/mem0ai/mem0/commit/d62ce07faceafedd4b10d60704db2b9d89d0afff)." ], "verdict": "An agent can create its own free account with `mem0 init --agent`, no email and no card, and free limits rise to 50,000 adds a month with the customer's own LLM key. Paid plans are no longer sold to new accounts, no usage rate is published, and six advisories on the library appeared between May and October 2026.", "bestFor": "Chat products that want per-user facts back with one search call and little setup, and teams willing to connect their own LLM key for higher free limits.", "strengths": [ "An agent can create its own free account with `mem0 init --agent`, no email and no card", "Hosted MCP server with 11 tools, listed in the official MCP registry as io.github.mem0ai/mem0", "OpenAPI file with 47 paths, llms.txt, and Python and TypeScript SDKs, with six Python releases between 12 August and 25 September 2026", "The free plan gives 50,000 adds and 10,000 retrievals a month once the customer connects its own LLM key", "Apache-2.0 library that runs the same extraction on your own servers" ], "weaknesses": [ "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026", "No published Platform rate limits or general 429 handling, and no SLA outside a sales contract", "Since 26 October 2026 no paid plan is sold to new accounts and the usage-based rate appears only in the dashboard", "Six advisories on mem0ai were published between 2 May and 28 October 2026, among them a Critical SQL injection and a cross-tenant leak", "delete_all_memories and delete_entities are in the default MCP tool list with no read-only mode" ], "agentNotes": [ "Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer", "Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID", "Never pass an empty `user_id` or other entity ID to delete_all. The docs say an empty ID matches every memory in the project", "After a free account's first 30 days, connect an LLM key in Settings, or adds return an error while searches keep working", "Set `MEM0_TELEMETRY=false` to stop the SDK's PostHog events, which the hosted client sends under the account email" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 40.1 } ], "editorialScores": { "ergonomics": 63, "maintenance": 75, "payments": 40, "reliability": 25, "schema": 80, "security": 45, "transparency": 56 }, "provenanceScore": 68, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install mem0ai # or: npm install mem0ai", "http": "curl -X POST https://api.mem0.ai/v1/memories/ -H \"Authorization: Token $MEM0_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"messages\":[{\"role\":\"user\",\"content\":\"I am vegetarian and allergic to nuts.\"}],\"user_id\":\"alex\"}'", "claudeCode": "claude mcp add --transport http mem0 https://mcp.mem0.ai/mcp --header \"Authorization: Bearer $MEM0_API_KEY\"", "config": { "mcpServers": { "mem0": { "headers": { "Authorization": "Bearer ${MEM0_API_KEY}" }, "type": "http", "url": "https://mcp.mem0.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/mem0" }, "area": "agent-runtime", "provenance": { "legalEntity": "Embedchain, Inc. (DBA Mem0)", "domain": "mem0.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://mem0.ai/terms", "privacy": "https://mem0.ai/privacy-policy", "statusPage": "https://status.mem0.ai", "changelog": "https://docs.mem0.ai/changelog/platform", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The privacy policy, last updated 22 August 2026, names Embedchain, Inc. doing business as Mem0, and lists OpenAI and Anthropic among the AI providers that process data.", "mem0.ai/.well-known/security.txt returns 404." ], "score": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json", "live": { "slug": "mem0", "probe": { "target": "https://api.mem0.ai", "method": "get", "lastAt": "2026-11-07T18:20:38.456031724Z", "lastOk": true, "lastStatus": 200, "lastMs": 534, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 462, "p95ms24h": 557, "samples24h": 239, "samples30d": 7910, "days": [ { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "vendorStatus": { "page": "https://status.mem0.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:48:02.607773492Z" }, "versions": [ { "registry": "github", "name": "mem0ai/mem0", "version": "ts-v3.3.1", "released": "2026-09-25", "seenAt": "2026-11-06T23:43:52.566540472Z" }, { "registry": "mcp-registry", "name": "io.github.mem0ai/mem0", "version": "1.0.0", "seenAt": "2026-11-07T18:16:28.95801333Z" }, { "registry": "npm", "name": "mem0ai", "version": "3.3.1", "seenAt": "2026-11-06T23:43:50.751992157Z" }, { "registry": "pypi", "name": "mem0ai", "version": "2.2.1", "released": "2026-09-25", "seenAt": "2026-11-06T23:43:50.559739208Z" } ], "githubStars": 68531, "npmWeekly": 267851, "pypiWeekly": 591780, "securityTxt": { "url": "https://mem0.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:40.28309414Z" }, "llmsTxt": { "url": "https://mem0.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:59.262882324Z" }, "domain": { "domain": "mem0.ai", "registered": "2024-05-15", "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai", "checkedAt": "2026-11-01T14:09:04.649174009Z" }, "pages": [ { "url": "https://docs.mem0.ai/changelog/platform", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:07:00.503340695Z", "changedAt": "2026-10-27T03:44:38.791963666Z", "fingerprint": "169e29f348bb" }, { "url": "https://mem0.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-04T08:27:49.243202525Z", "changedAt": "2026-10-27T03:50:03.843667488Z", "fingerprint": "b949f961f237" }, { "url": "https://raw.githubusercontent.com/mem0ai/mem0/main/docs/platform/pricing.mdx", "kind": "pricing", "status": 304, "checkedAt": "2026-11-07T14:21:41.095179342Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "82ec3077357d" }, { "url": "https://mem0.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:14:09.309238426Z", "changedAt": "2026-10-27T03:50:05.971091022Z", "fingerprint": "f0cad2d4a658" }, { "url": "https://mem0.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:14:11.686070925Z", "changedAt": "2026-10-27T03:50:08.177389046Z", "fingerprint": "94c917289ed0" } ], "mcpTools": { "url": "https://mcp.mem0.ai/mcp", "checkedAt": "2026-11-07T01:46:13.530814635Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-11-07T01:46:13.530814635Z" }, "github": { "repo": "mem0ai/mem0", "checkedAt": "2026-11-02T09:04:45.050881633Z", "stars": 68264, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-30T21:36:23Z", "openIssues": 446, "openPRs": 452, "issuesOpened90d": 315, "issuesClosed90d": 104, "prsMerged90d": 129, "ci": { "branch": "main", "runs": 50, "success": 45, "failure": 5, "other": 0, "latest": "success", "latestAt": "2026-10-30T21:44:18Z" }, "advisories": [ { "ghsa": "GHSA-5324-3w58-qpp2", "cve": "CVE-2026-116575", "severity": "medium", "published": "2026-10-20T17:17:59Z" } ], "replies": { "sampled": 25, "unanswered": 25 } }, "updatedAt": "2026-11-07T18:20:38.456031724Z" } }, "answer": "MemMachine scores 58 (C) on agent readiness against Mem0 Platform + MCP's 40.1 (E), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on transparency \u0026 trust.", "b": { "slug": "memmachine", "name": "MemMachine", "vendor": "MemVerge, Inc.", "vendorUrl": "https://memmachine.ai", "kind": "http-api", "category": "agent-memory", "summary": "MemMachine is an open-source long-term memory layer for AI agents, incubated by MemVerge, with episodic, profile and working memory behind a self-hosted REST server, Python and TypeScript clients and an MCP server, plus a hosted platform.", "url": "https://www.anchorterminal.com/tools/memmachine", "markdownUrl": "https://www.anchorterminal.com/tools/memmachine.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/memmachine.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/memmachine.json", "dns": "memmachine.grade.anchorterminal.com", "repo": "https://github.com/MemMachine/MemMachine", "license": "Apache-2.0", "transports": [ "http", "stdio", "streamable-http" ], "packages": [ { "registry": "pypi", "name": "memmachine-server" }, { "registry": "pypi", "name": "memmachine-client" }, { "registry": "npm", "name": "@memmachine/client" } ], "auth": "none", "authNotes": "The self-hosted server takes no credential; the owner supplies LLM and embedding keys (OpenAI, Bedrock or Ollama) in its config. The hosted MemMachine Platform at api.memmachine.ai uses a bearer API key created and revoked in the console after a browser signup.", "pricing": "freemium", "pricingNotes": "Free under Apache-2.0 to self-host, with model costs paid to the chosen provider. The hosted platform has a free account per the README, but no prices were found, and the terms bill hosted services by order, monthly or annually.", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository, the OpenAPI documents or the docs (checked 2026-11-06).", "endpoints": [] }, "toolCount": 3, "popularity": { "githubStars": 3085, "npmWeekly": 28, "pypiWeekly": 581, "asOf": "2026-11-06" }, "docsUrl": "https://docs.memmachine.ai", "llmsTxt": "https://docs.memmachine.ai/llms.txt", "openapi": "https://github.com/MemMachine/MemMachine/blob/main/docs/openapi.json", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.graph", "memory.delete" ], "tags": [ "open-source", "self-hosted", "hosted", "apache-2.0", "python", "typescript", "docker", "mcp", "openapi", "llms-txt", "no-auth", "pre-1.0" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 58, "grade": "C", "agentReady": false, "rank": 767, "ranked": true, "rankOf": 1486, "categoryRank": 16, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 83, "payments": 40, "reliability": 51, "schema": 79, "security": 41, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.", "bestFor": "Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.", "strengths": [ "Apache-2.0 server and clients on PyPI, npm and Docker, self-hostable with Ollama or AWS Bedrock", "OpenAPI documents for the server (54 operations) and the hosted platform (12), every operation described", "MCP server over stdio or HTTP with three tools, add_memory, search_memory and delete_memory", "SECURITY.md with private reporting and a two-business-day acknowledgement, plus security-audit and SBOM workflows", "Hosted platform terms commit to 99.5% availability" ], "weaknesses": [ "Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository", "The self-hosted server has no authentication and no security scheme in its OpenAPI document", "The README's quick start imports with `from memmachine_client import import MemMachineClient`, which is invalid Python", "292 open issues and pull requests, including recent reports that a provider 429 becomes a 500 and that a 0.4.0 config no longer starts", "No prices for the hosted platform, and the Enterprise edition is marked coming soon" ], "agentNotes": [ "Import with `from memmachine_client import MemMachineClient`; the README line has a doubled `import`", "Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller", "Scope every call with org, project, group, agent, user and session ids so memories don't mix", "Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits", "Treat recalled episodes as untrusted text from past conversations" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58 } ], "editorialScores": { "ergonomics": 65, "maintenance": 83, "payments": 40, "reliability": 51, "schema": 79, "security": 41, "transparency": 55 }, "provenanceScore": 58, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install memmachine-server memmachine-client", "http": "curl http://localhost:8080/api/v2/health" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/memmachine" }, "area": "agent-runtime", "provenance": { "legalEntity": "MemVerge, Inc.", "domain": "memmachine.ai", "domainRegistered": "2025-08-15", "endpointOnVendorDomain": null, "terms": "https://memmachine.ai/terms-of-service/", "privacy": "https://memmachine.ai/privacy-policy/", "statusPage": "", "changelog": "https://github.com/MemMachine/MemMachine/releases", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The terms name MemVerge, Inc., under California law, with no last-updated date shown. They forbid web scraping or harvesting data from the services, recorded here as a fact. The open-source software is Apache-2.0 and outside the terms.", "memmachine.ai/robots.txt allows all crawlers. docs.memmachine.ai carries Content-Signal ai-input=yes.", "RDAP gives memmachine.ai a registration date of 15 August 2025.", "/.well-known/security.txt returns 404. No status page found." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/memmachine.json", "live": { "slug": "memmachine", "versions": [ { "registry": "github", "name": "MemMachine/MemMachine", "version": "v0.4.0", "released": "2026-10-08", "seenAt": "2026-11-06T23:43:57.45502049Z" }, { "registry": "npm", "name": "@memmachine/client", "version": "0.3.9", "seenAt": "2026-11-06T23:43:56.945798416Z" }, { "registry": "pypi", "name": "memmachine-client", "version": "0.4.0", "released": "2026-10-08", "seenAt": "2026-11-06T23:43:55.050118334Z" }, { "registry": "pypi", "name": "memmachine-server", "version": "0.4.0", "released": "2026-10-08", "seenAt": "2026-11-06T23:43:54.864236924Z" } ], "githubStars": 3085, "npmWeekly": 28, "pypiWeekly": 54, "securityTxt": { "url": "https://memmachine.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:09.818703565Z" }, "llmsTxt": { "url": "https://docs.memmachine.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:59.84146138Z" }, "pages": [ { "url": "https://memmachine.ai/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:14:11.012100581Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "19edc6281451" }, { "url": "https://memmachine.ai/terms-of-service/", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:14:13.19202427Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "079364130152" } ], "updatedAt": "2026-11-07T16:00:09.818703565Z" } }, "edges": [ { "by": 26, "category": "reliability", "leads": "memmachine", "name": "Reliability", "reasons": { "a": "A status page exists at status.mem0.ai. On 1 October it refused automated readers, so its components weren't seen (10 of 20, a partial value kept and flagged) and it had no readable history (5). Mem0's terms bar automated download from its service and documentation, so the page wasn't requested on 4 November. No Platform rate limits with numbers. The docs say only \"Managed quotas per workspace\" (0). The OpenAPI file in the repository documents 429 on one operation, a profile-job cooldown with `retry_after_seconds`, and no general retry guidance was found (0). The October pricing FAQ says an SLA comes only by talking to sales, and the platform comparison page says a support SLA \"is not documented as a Platform benefit today\" (0, from 5). The v3 API and the hosted MCP server are generally available (10). 10+5+0+0+0+10 = 25.", "b": "Local-software lines, as a server the owner runs. `memmachine-server` and `memmachine-client` on PyPI with Python versions stated, a Docker image and a compose script (20). pytest, integration and installation-test workflows exist, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 292 open issues and pull requests; the newest bug reports, including a 429 from a provider surfacing as a 500 and a 0.4.0 configuration that no longer starts, have zero to two replies (10 of 25). No changelog file, release notes only on GitHub, which weren't read, and pre-1.0 tags (6 of 15). Version 0.4.0 (0). Total 51." }, "scores": { "a": 25, "b": 51 } }, { "by": 8, "category": "maintenance", "leads": "memmachine", "name": "Maintenance \u0026 community", "reasons": { "a": "The newest releases are Python mem0ai 2.2.1 and npm mem0ai 3.3.1 of 25 September 2026 (tags v2.2.1 and ts-v3.3.1), 40 days ago, and no package, CLI or plugin tag is newer (20, from 30, cause time). In the 90 days from 6 August, Python v2.0.18 (12 August), v2.0.19 (24 August), v2.0.20 (2 September), v2.1.0 (18 September), v2.2.0 (24 September) and v2.2.1, with the matching TypeScript releases (20). Issues and pull requests weren't re-read (github.com refused). 15 of 25 per the 1 October check. Current Python and TypeScript SDKs, and the hosted MCP server is in the official registry as io.github.mem0ai/mem0 per the 1 October check (15). CI workflows run on pull requests, with run state unread (5 of 10). 20+20+15+15+5 = 75.", "b": "v0.4.0 on PyPI on 8 October 2026, 29 days before the check (30). v0.3.9-post1, v0.4.0, v0.4.1-dev0 and v0.4.1-a1 in 90 days (20). Many open issues and recent reports with few replies (12 of 25). Python and TypeScript clients, both current (12 of 15). uv lock checks, security audit, SBOM and stale-issue workflows (9 of 10). Total 83." }, "scores": { "a": 75, "b": 83 } }, { "by": 5, "category": "transparency", "leads": "mem0", "name": "Transparency \u0026 trust", "reasons": { "a": "The extraction library is Apache-2.0, but the Platform, the product listed here, is closed (20 of 30). Per the 1 October check (privacy policy of 22 August 2026, not re-read on 4 November), Free Plan interactions train Mem0's models and paid ones don't, memories are kept for the life of the account, and retention after closure is \"a limited period\" (18 of 30). Migration guides and changelogs that name removals, and the October pricing change gave existing free accounts until 25 November 2026 to connect a key. No written deprecation policy (10 of 20). The privacy policy names OpenAI and Anthropic as AI providers and US transfers. No full subprocessor list was found (8 of 20). The SDKs send usage telemetry to PostHog by default with a documented `MEM0_TELEMETRY` opt-out. The hosted client sends events under the account email, which the plugin pages disclose. No term. 20+18+10+8 = 56.", "b": "Apache-2.0 (30). The terms say hosted customer data is destroyed on termination, with no period, and use usage data only in aggregate; the privacy policy wasn't read (12 of 30). No deprecation policy or notices found (3 of 20). No telemetry calls found in the server or client source, and the docs don't address it (10 of 20). Total 55." }, "scores": { "a": 62, "b": 57 } } ], "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Mem0", "b": "MemVerge, Inc.", "name": "Vendor" }, { "a": "https://api.mem0.ai", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP, stdio, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "11", "b": "3", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.mem0ai/mem0", "b": "not listed", "name": "MCP registry" }, { "a": "2026-09-25", "b": "2026-10-08", "name": "Last release" }, { "a": "no date given", "b": "no date given", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-05-20", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "66k stars, 168k npm/wk, 502k PyPI/wk", "b": "3.1k stars, 28 npm/wk, 581 PyPI/wk", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "MemMachine scores 58 (C) on agent readiness against Mem0 Platform + MCP's 40.1 (E), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on transparency \u0026 trust.", "question": "Which is better for AI agents, Mem0 Platform + MCP or MemMachine?" }, { "answer": "Mem0 Platform + MCP needs an API key. MemMachine needs no key.", "question": "Do Mem0 Platform + MCP and MemMachine need an API key?" }, { "answer": "Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai. MemMachine runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Mem0 Platform + MCP and MemMachine without installing anything?" }, { "answer": "Yes. Mem0 Platform + MCP is open source (Apache-2.0). MemMachine is open source (Apache-2.0).", "question": "Are Mem0 Platform + MCP and MemMachine open source?" } ], "goodFor": [ { "aheadOn": [ "Transparency \u0026 trust, 62 against 57" ], "also": [ "A hosted endpoint, with nothing to install", "Free to start without a card" ], "goodFor": "Chat products that want per-user facts back with one search call and little setup, and teams willing to connect their own LLM key for higher free limits.", "slug": "mem0", "watchFor": "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026" }, { "aheadOn": [ "Reliability, 51 against 25", "Maintenance \u0026 community, 83 against 75" ], "also": [ "No key needed to call it", "Runs on your own machine", "No incidents deducted, where Mem0 Platform + MCP loses 13 points for them" ], "goodFor": "Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.", "slug": "memmachine", "watchFor": "Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository" } ], "history": { "mem0": [ { "causes": [ "pricing", "evidence", "event", "time" ], "date": "2026-11-04", "delta": -16.1, "from": 56.2, "fromGrade": "C", "to": 40.1, "toGrade": "E" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 56.1, "fromGrade": "C", "to": 56.2, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.5, "from": 56.6, "fromGrade": "C", "to": 56.1, "toGrade": "C" } ], "memmachine": null }, "job": { "capability": "memory.store", "name": "Agent memory" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.json", "title": "Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memmachine.json", "title": "Amazon Bedrock AgentCore Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-mem0.json", "title": "Basic Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-memmachine.json", "title": "Basic Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-mem0.json", "title": "claude-mem vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-memmachine.json", "title": "claude-mem vs MemMachine", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-mem0.json", "title": "Cognee vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/cognee-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-memmachine.json", "title": "Cognee vs MemMachine", "url": "https://www.anchorterminal.com/compare/cognee-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-mem0.json", "title": "EverOS vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/everos-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-memmachine.json", "title": "EverOS vs MemMachine", "url": "https://www.anchorterminal.com/compare/everos-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-mem0.json", "title": "Agent Platform Memory Bank vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine.json", "title": "Agent Platform Memory Bank vs MemMachine", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-mem0.json", "title": "Graphiti vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/graphiti-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-memmachine.json", "title": "Graphiti vs MemMachine", "url": "https://www.anchorterminal.com/compare/graphiti-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-mem0.json", "title": "Hindsight vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/hindsight-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-memmachine.json", "title": "Hindsight vs MemMachine", "url": "https://www.anchorterminal.com/compare/hindsight-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-mem0.json", "title": "Honcho vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/honcho-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-memmachine.json", "title": "Honcho vs MemMachine", "url": "https://www.anchorterminal.com/compare/honcho-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-mem0.json", "title": "Hy Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-memmachine.json", "title": "Hy Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-mem0.json", "title": "LangMem vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/langmem-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-memmachine.json", "title": "LangMem vs MemMachine", "url": "https://www.anchorterminal.com/compare/langmem-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-mem0.json", "title": "LocalGhost vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/localghost-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-memmachine.json", "title": "LocalGhost vs MemMachine", "url": "https://www.anchorterminal.com/compare/localghost-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-memori.json", "title": "Mem0 Platform + MCP vs Memori", "url": "https://www.anchorterminal.com/compare/mem0-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.json", "title": "Mem0 Platform + MCP vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-mempalace.json", "title": "Mem0 Platform + MCP vs MemPalace", "url": "https://www.anchorterminal.com/compare/mem0-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-past-dev.json", "title": "Mem0 Platform + MCP vs past.dev", "url": "https://www.anchorterminal.com/compare/mem0-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-supermemory.json", "title": "Mem0 Platform + MCP vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/mem0-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-tencentdb-agent-memory.json", "title": "Mem0 Platform + MCP vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/mem0-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip.json", "title": "Mem0 Platform + MCP vs Tokenrip", "url": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-zep.json", "title": "Mem0 Platform + MCP vs Zep", "url": "https://www.anchorterminal.com/compare/mem0-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-memori.json", "title": "MemMachine vs Memori", "url": "https://www.anchorterminal.com/compare/memmachine-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-memory-reference-server.json", "title": "MemMachine vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/memmachine-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-mempalace.json", "title": "MemMachine vs MemPalace", "url": "https://www.anchorterminal.com/compare/memmachine-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-past-dev.json", "title": "MemMachine vs past.dev", "url": "https://www.anchorterminal.com/compare/memmachine-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-supermemory.json", "title": "MemMachine vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/memmachine-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-tencentdb-agent-memory.json", "title": "MemMachine vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/memmachine-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-tokenrip.json", "title": "MemMachine vs Tokenrip", "url": "https://www.anchorterminal.com/compare/memmachine-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-zep.json", "title": "MemMachine vs Zep", "url": "https://www.anchorterminal.com/compare/memmachine-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0.json", "title": "AI Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-memmachine.json", "title": "AI Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-mem0.json", "title": "Context Mode Engine vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/context-mode-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-memmachine.json", "title": "Context Mode Engine vs MemMachine", "url": "https://www.anchorterminal.com/compare/context-mode-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-mem0.json", "title": "Graphicle vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/graphicle-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-memmachine.json", "title": "Graphicle vs MemMachine", "url": "https://www.anchorterminal.com/compare/graphicle-vs-memmachine" } ], "panel": null, "scores": [ { "by": 26, "edge": "memmachine", "key": "reliability", "mem0": 25, "memmachine": 51, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 1, "edge": "mem0", "key": "schema", "mem0": 80, "memmachine": 79, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 2, "edge": "memmachine", "key": "ergonomics", "mem0": 63, "memmachine": 65, "name": "Agent ergonomics", "weight": 13 }, { "by": 4, "edge": "mem0", "key": "security", "mem0": 45, "memmachine": 41, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "mem0": 40, "memmachine": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 8, "edge": "memmachine", "key": "maintenance", "mem0": 75, "memmachine": 83, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 5, "edge": "mem0", "key": "transparency", "mem0": 62, "memmachine": 57, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "MemMachine scores 58 (C) on agent readiness against Mem0 Platform + MCP's 40.1 (E), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on transparency \u0026 trust. Both do agent memory.", "tasks": null, "tutorials": [], "verdicts": { "mem0": "An agent can create its own free account with `mem0 init --agent`, no email and no card, and free limits rise to 50,000 adds a month with the customer's own LLM key. Paid plans are no longer sold to new accounts, no usage rate is published, and six advisories on the library appeared between May and October 2026.", "memmachine": "MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/mem0-vs-memmachine", "json": "https://www.anchorterminal.com/compare/mem0-vs-memmachine.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/mem0-vs-memmachine.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/mem0-vs-memmachine.min.md" }, "markdown": "MemMachine scores 58 (C) on agent readiness against Mem0 Platform + MCP's 40.1 (E), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on transparency \u0026 trust. Both do agent memory.\n\n- Mem0 Platform + MCP: grade E, 40.1/100, rank #1310 of 1486. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n- MemMachine: grade C, 58/100, rank #767 of 1486. Markdown https://www.anchorterminal.com/tools/memmachine.md · JSON https://www.anchorterminal.com/api/v1/tools/memmachine.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 353 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Mem0 Platform + MCP (E)\n\nGood for: Chat products that want per-user facts back with one search call and little setup, and teams willing to connect their own LLM key for higher free limits.\n\nAhead on:\n- Transparency \u0026 trust, 62 against 57\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n\nWatch for: Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026\n\n### MemMachine (C)\n\nGood for: Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.\n\nAhead on:\n- Reliability, 51 against 25\n- Maintenance \u0026 community, 83 against 75\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n- No incidents deducted, where Mem0 Platform + MCP loses 13 points for them\n\nWatch for: Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository\n\n\n## Why the edge\n\n### Reliability: MemMachine +26\n\n- Mem0 Platform + MCP (25): A status page exists at status.mem0.ai. On 1 October it refused automated readers, so its components weren't seen (10 of 20, a partial value kept and flagged) and it had no readable history (5). Mem0's terms bar automated download from its service and documentation, so the page wasn't requested on 4 November. No Platform rate limits with numbers. The docs say only \"Managed quotas per workspace\" (0). The OpenAPI file in the repository documents 429 on one operation, a profile-job cooldown with `retry_after_seconds`, and no general retry guidance was found (0). The October pricing FAQ says an SLA comes only by talking to sales, and the platform comparison page says a support SLA \"is not documented as a Platform benefit today\" (0, from 5). The v3 API and the hosted MCP server are generally available (10). 10+5+0+0+0+10 = 25.\n- MemMachine (51): Local-software lines, as a server the owner runs. `memmachine-server` and `memmachine-client` on PyPI with Python versions stated, a Docker image and a compose script (20). pytest, integration and installation-test workflows exist, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 292 open issues and pull requests; the newest bug reports, including a 429 from a provider surfacing as a 500 and a 0.4.0 configuration that no longer starts, have zero to two replies (10 of 25). No changelog file, release notes only on GitHub, which weren't read, and pre-1.0 tags (6 of 15). Version 0.4.0 (0). Total 51.\n\n### Maintenance \u0026 community: MemMachine +8\n\n- Mem0 Platform + MCP (75): The newest releases are Python mem0ai 2.2.1 and npm mem0ai 3.3.1 of 25 September 2026 (tags v2.2.1 and ts-v3.3.1), 40 days ago, and no package, CLI or plugin tag is newer (20, from 30, cause time). In the 90 days from 6 August, Python v2.0.18 (12 August), v2.0.19 (24 August), v2.0.20 (2 September), v2.1.0 (18 September), v2.2.0 (24 September) and v2.2.1, with the matching TypeScript releases (20). Issues and pull requests weren't re-read (github.com refused). 15 of 25 per the 1 October check. Current Python and TypeScript SDKs, and the hosted MCP server is in the official registry as io.github.mem0ai/mem0 per the 1 October check (15). CI workflows run on pull requests, with run state unread (5 of 10). 20+20+15+15+5 = 75.\n- MemMachine (83): v0.4.0 on PyPI on 8 October 2026, 29 days before the check (30). v0.3.9-post1, v0.4.0, v0.4.1-dev0 and v0.4.1-a1 in 90 days (20). Many open issues and recent reports with few replies (12 of 25). Python and TypeScript clients, both current (12 of 15). uv lock checks, security audit, SBOM and stale-issue workflows (9 of 10). Total 83.\n\n### Transparency \u0026 trust: Mem0 Platform + MCP +5\n\n- Mem0 Platform + MCP (62): The extraction library is Apache-2.0, but the Platform, the product listed here, is closed (20 of 30). Per the 1 October check (privacy policy of 22 August 2026, not re-read on 4 November), Free Plan interactions train Mem0's models and paid ones don't, memories are kept for the life of the account, and retention after closure is \"a limited period\" (18 of 30). Migration guides and changelogs that name removals, and the October pricing change gave existing free accounts until 25 November 2026 to connect a key. No written deprecation policy (10 of 20). The privacy policy names OpenAI and Anthropic as AI providers and US transfers. No full subprocessor list was found (8 of 20). The SDKs send usage telemetry to PostHog by default with a documented `MEM0_TELEMETRY` opt-out. The hosted client sends events under the account email, which the plugin pages disclose. No term. 20+18+10+8 = 56.\n- MemMachine (57): Apache-2.0 (30). The terms say hosted customer data is destroyed on termination, with no period, and use usage data only in aggregate; the privacy policy wasn't read (12 of 30). No deprecation policy or notices found (3 of 20). No telemetry calls found in the server or client source, and the docs don't address it (10 of 20). Total 55.\n\n## Score by category\n\n| Category | Weight | Mem0 Platform + MCP | MemMachine | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 25 | 51 | MemMachine +26 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 79 | Mem0 Platform + MCP +1 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 65 | MemMachine +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 41 | Mem0 Platform + MCP +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 83 | MemMachine +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 57 | Mem0 Platform + MCP +5 |\n| Negative events | ≤15 | -13 | 0 | |\n| **Total** | | **40.1 · E** | **58 · C** | |\n\n## Facts side by side\n\n| Fact | Mem0 Platform + MCP | MemMachine |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Mem0 | MemVerge, Inc. |\n| Hosted endpoint | `https://api.mem0.ai` | no (local only) |\n| Transports | HTTP, Streamable HTTP | HTTP, stdio, Streamable HTTP |\n| Auth | API key | None |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Tools exposed | 11 | 3 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.mem0ai/mem0` | not listed |\n| Last release | 2026-09-25 | 2026-10-08 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | no date given | 2026-05-20 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 66k stars, 168k npm/wk, 502k PyPI/wk | 3.1k stars, 28 npm/wk, 581 PyPI/wk |\n| Agent reviews | 2.5/5 (2) | none |\n\n## How the scores have moved\n\n### Mem0 Platform + MCP\n\n- -16.1 on 4 November 2026 (C to E): pricing, new evidence, negative event, time\n- +0.1 on 27 October 2026: checklist\n- -0.5 on 8 October 2026: checklist\n\n### MemMachine\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Mem0 Platform + MCP.** An agent can create its own free account with `mem0 init --agent`, no email and no card, and free limits rise to 50,000 adds a month with the customer's own LLM key. Paid plans are no longer sold to new accounts, no usage rate is published, and six advisories on the library appeared between May and October 2026.\n\n**MemMachine.** MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.\n\n## Before you call either\n\n### Mem0 Platform + MCP\n\n1. Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer\n2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID\n3. Never pass an empty `user_id` or other entity ID to delete_all. The docs say an empty ID matches every memory in the project\n4. After a free account's first 30 days, connect an LLM key in Settings, or adds return an error while searches keep working\n5. Set `MEM0_TELEMETRY=false` to stop the SDK's PostHog events, which the hosted client sends under the account email\n\n### MemMachine\n\n1. Import with `from memmachine_client import MemMachineClient`; the README line has a doubled `import`\n2. Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller\n3. Scope every call with org, project, group, agent, user and session ids so memories don't mix\n4. Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits\n5. Treat recalled episodes as untrusted text from past conversations\n\n## Questions\n\n### Which is better for AI agents, Mem0 Platform + MCP or MemMachine?\n\nMemMachine scores 58 (C) on agent readiness against Mem0 Platform + MCP's 40.1 (E), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on transparency \u0026 trust.\n\n### Do Mem0 Platform + MCP and MemMachine need an API key?\n\nMem0 Platform + MCP needs an API key. MemMachine needs no key.\n\n### Can an agent call Mem0 Platform + MCP and MemMachine without installing anything?\n\nMem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai. MemMachine runs on your own machine, with no hosted endpoint listed.\n\n### Are Mem0 Platform + MCP and MemMachine open source?\n\nYes. Mem0 Platform + MCP is open source (Apache-2.0). MemMachine is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mem0-vs-memmachine.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mem0-vs-memmachine.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mem0\", \"b\": \"memmachine\"}`. From a terminal: `anchor compare mem0 memmachine`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mem0.json and https://www.anchorterminal.com/api/v1/tools/memmachine.json\n\n## Other comparisons with Mem0 Platform + MCP or MemMachine\n\n- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)\n- [Amazon Bedrock AgentCore Memory vs MemMachine](https://www.anchorterminal.com/compare/agentcore-memory-vs-memmachine.md)\n- [Basic Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/basic-memory-vs-mem0.md)\n- [Basic Memory vs MemMachine](https://www.anchorterminal.com/compare/basic-memory-vs-memmachine.md)\n- [claude-mem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/claude-mem-vs-mem0.md)\n- [claude-mem vs MemMachine](https://www.anchorterminal.com/compare/claude-mem-vs-memmachine.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Cognee vs MemMachine](https://www.anchorterminal.com/compare/cognee-vs-memmachine.md)\n- [EverOS vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/everos-vs-mem0.md)\n- [EverOS vs MemMachine](https://www.anchorterminal.com/compare/everos-vs-memmachine.md)\n- [Agent Platform Memory Bank vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/google-memory-bank-vs-mem0.md)\n- [Agent Platform Memory Bank vs MemMachine](https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Graphiti vs MemMachine](https://www.anchorterminal.com/compare/graphiti-vs-memmachine.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Hindsight vs MemMachine](https://www.anchorterminal.com/compare/hindsight-vs-memmachine.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Honcho vs MemMachine](https://www.anchorterminal.com/compare/honcho-vs-memmachine.md)\n- [Hy Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-mem0.md)\n- [Hy Memory vs MemMachine](https://www.anchorterminal.com/compare/hy-memory-vs-memmachine.md)\n- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)\n- [LangMem vs MemMachine](https://www.anchorterminal.com/compare/langmem-vs-memmachine.md)\n- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)\n- [LocalGhost vs MemMachine](https://www.anchorterminal.com/compare/localghost-vs-memmachine.md)\n- [Mem0 Platform + MCP vs Memori](https://www.anchorterminal.com/compare/mem0-vs-memori.md)\n- [Mem0 Platform + MCP vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.md)\n- [Mem0 Platform + MCP vs MemPalace](https://www.anchorterminal.com/compare/mem0-vs-mempalace.md)\n- [Mem0 Platform + MCP vs past.dev](https://www.anchorterminal.com/compare/mem0-vs-past-dev.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Mem0 Platform + MCP vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/mem0-vs-tencentdb-agent-memory.md)\n- [Mem0 Platform + MCP vs Tokenrip](https://www.anchorterminal.com/compare/mem0-vs-tokenrip.md)\n- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)\n- [MemMachine vs Memori](https://www.anchorterminal.com/compare/memmachine-vs-memori.md)\n- [MemMachine vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/memmachine-vs-memory-reference-server.md)\n- [MemMachine vs MemPalace](https://www.anchorterminal.com/compare/memmachine-vs-mempalace.md)\n- [MemMachine vs past.dev](https://www.anchorterminal.com/compare/memmachine-vs-past-dev.md)\n- [MemMachine vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memmachine-vs-supermemory.md)\n- [MemMachine vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/memmachine-vs-tencentdb-agent-memory.md)\n- [MemMachine vs Tokenrip](https://www.anchorterminal.com/compare/memmachine-vs-tokenrip.md)\n- [MemMachine vs Zep](https://www.anchorterminal.com/compare/memmachine-vs-zep.md)\n- [AI Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.md)\n- [AI Memory vs MemMachine](https://www.anchorterminal.com/compare/ai-memory-vs-memmachine.md)\n- [Context Mode Engine vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/context-mode-vs-mem0.md)\n- [Context Mode Engine vs MemMachine](https://www.anchorterminal.com/compare/context-mode-vs-memmachine.md)\n- [Graphicle vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.md)\n- [Graphicle vs MemMachine](https://www.anchorterminal.com/compare/graphicle-vs-memmachine.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Mem0 Platform + MCP vs MemMachine", 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